Careers – Trax

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At Trax, our people are at the core of our business, as we create technology and services that are changing the world of retail. Get to know us.

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Trax is a rapidly growing
company with start-up values

We started out with the daring mission of solving long-standing problems for our CPG and retail customers. Today, we are proud to be market makers, and our journey is streaked with perseverance, team work and a whole lot of fun.

Unleash your potential by joining a powerhouse of brilliant minds from diverse backgrounds, in an environment that is learning-friendly - and often filled with food!


Data Engineer (MLOps-Data team)

Tel Aviv · Full-time · Experienced

About The Position

Trax is looking for a Data Engineer to join its MLOps-Data team in the AI Unit. This person will be responsible for developing, delivering, and maintaining high quality micro-services providing data for deep learning based recognition engines.


  • In charge of development and maintenance of server side micro-services hosting data processes for deep learning engines training.
  • Analysis and investigation of anomalies in the data, generation of prediction models
  • Development of cloud related infrastructure for data engineering use (working with AWS and GCP)
  • Member of an algorithm research unit which develops the company’s core computer vision technology.


  • Experienced software engineer - has proven experience in high scale micro-service development, technical design and feature testing.
  • At least 3 years of proven Experience in backend development (Preferably Python)
  • Significant Experience in working with databases (SQL and NOSQL)
  • Experience in working in cloud environment (ideally AWS/GCP)
  • Able to investigate and to propagate new technologies
  • Prior experience with data analysis methods and concepts, preferably using Pandas - advantage
  • Experience with GIT – advantage
  • Experience with Google Big Query / Big Table – advantage


  • B.Sc. in computer Science / equivalent (Master in Computer Science is a plus)

Key Competencies

  • Outstanding proven development technical achievements
  • Independent and reliable
  • Can Do approach
  • Strong understanding of system architecture
  • Strong analytic and problem solving skills
  • Strong interpersonal skills, excellent verbal and written communication skills
  • Ability to work under pressure and meet deliveries
  • Excellent self-learning ability
  • Team player

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